Braintix Labs builds an AI layer on top of existing CCTV. Instead of recording incidents for someone to find later, the system watches the live stream, recognises the situations you care about, and raises an alert while there is still time to act.
A vision ai safety layer is not a new surveillance network — it is intelligence added to the one you have. Every deployment starts from a specific safety problem on a specific site — a blind corner, a forklift aisle, a gate where hard hats get skipped — and is validated against footage from your own cameras before it goes live.
Our Expertise in AI Vision Technology. We build and deploy computer vision models on live RTSP and IP camera streams: object and person detection, zone breach, PPE recognition, proximity and dwell-time analytics. Our team has taken these systems from proof of concept into daily operation on real sites, where lighting is poor, lenses are dirty and half the cameras were installed a decade ago. Making vision ai safety work under those conditions is the actual engineering problem, and it is the one we solve.
Approach to Workplace Safety. Safety problem first, model second. We agree with your EHS team on the three or four events that matter most on your site, tune detection thresholds against your own recorded footage, and only then connect alerts to real people. We do not promise a detection rate before we have seen your cameras. Where a call is ambiguous, the system escalates to a human rather than deciding on its own.
Built on Your Existing Infrastructure. No rip-and-replace. We connect to the NVR or camera streams you run today, process on the edge or in your own cloud depending on your privacy requirements, and push events into the channels your team already watches — Telegram, email, a dashboard or your existing incident system.
The case in favor of artificial intelligence has long since moved beyond the purely theoretical — your competitors are now using it to make deals more quickly and improve their operations.
AI removes repetitive, low-value work so your teams can focus on decisions and outcomes.
By automating routine tasks and surfacing the right information at the right moment, people spend less time searching and coordinating — and more time on work that actually moves the business forward
Organizations that operationalize AI respond to customers and markets faster than those still relying on manual processes.
Braintix helps you build capabilities that are hard to copy — models and workflows shaped around your data, your customers and the way your business actually runs.
AI reduces the cost of doing business by streamlining operations, cutting rework and preventing expensive errors.
Instead of adding tools that create more overhead, we target the workflows where automation and better decisions translate directly into lower operating costs.
AI helps you see problems earlier and act on them with confidence.
From monitoring anomalies to improving forecasting and compliance checks, the right systems give leaders clearer signals and fewer surprises — with human oversight kept firmly in the loop.
Our AI transformation agency works throughout various industries, but we never treat them as interchangeable; we approach every project by focusing on the real challenges of that specific industry, rather than relying on generic templates.
A camera records. It does not notice. On most sites the footage is only opened after something has already gone wrong, which makes the whole system a forensic tool rather than a preventive one. That is the gap computer vision for safety closes.
Send us a few hours of recorded footage. We will run our detection models over it and show you, frame by frame, which events your current setup did not catch.
Book a ConsultationFour capabilities, deployed together or one at a time. Each runs on your existing camera feeds and writes every detected event into a searchable log with the video clip attached. A safety vision ai solution is only useful if people act on what it finds, so every alert is built around a clear owner and a clear next step.
About solution
The system watches for the conditions you define: spills and obstructions, blocked emergency exits, people entering restricted or machine-active zones, unattended objects, smoke and fire signatures, and workers in areas they are not cleared for. Detection happens on the live stream, so the alert arrives in seconds rather than after a review. Each alert carries the camera, the timestamp and a short clip, so whoever responds already knows what they are walking into.
About solution
Hard hats, vests, gloves, goggles and footwear are checked continuously at the points that matter — entry gates, production lines, loading bays. Rules are set per zone, because a warehouse aisle and a welding bay do not need the same kit. Violations are logged with evidence and can trigger an immediate local alert, a supervisor notification, or a weekly compliance report. This is where ai computer vision safety produces the clearest, fastest measurable change in behaviour.
About solution
If your cameras output an RTSP or IP stream, we can use them — no new hardware, no re-cabling, no replacing an NVR that works. We assess coverage first and tell you honestly which angles are usable and which are not; sometimes the answer is that one camera needs moving two metres. Processing runs on an edge device on site or in your private cloud, whichever your data policy requires. Using computer vision for safety on hardware you already own is what keeps the cost of entry low enough to pilot properly.
About solution
Person-to-vehicle and person-to-machine distance is tracked continuously, so a forklift passing too close to a pedestrian is counted even when nobody was hurt. Over a few weeks this builds a heat map of where your site is genuinely dangerous, ranked by frequency rather than by whoever complained loudest. That data is what turns an ai vision safety system from a monitoring tool into a planning one.
Deployment runs in four stages, and you can stop after any of them. Nothing is connected to live alerting until it has been validated on footage from your own site — a typical single-site rollout takes four to eight weeks.
We review your camera layout, stream formats, network and incident history, then agree with your EHS team on the events to detect first and who receives each alert. Output: a written scope with coverage map, detection list and data-handling rules.
Models run on a small group of cameras against your recorded footage. You see true and false detection rates per event type before anything is connected to live alerts, and we tune thresholds until the signal is worth acting on.
The validated setup is rolled out across the site: edge or private-cloud processing, zone rules, escalation paths, dashboards, event logging and training for supervisors and the safety team.
We monitor detection quality, retrain as seasons, layouts and workwear change, and extend the same safety computer vision setup to new zones, shifts or sites once the first one is stable.
A pilot on a handful of cameras tells you within weeks whether this works in your environment — before any commitment to a full deployment.
Request a Pilot
Any site where people and moving equipment share space, and where cameras are already installed, is a candidate. The payback is fastest where an incident is expensive — in downtime, insurance or regulatory exposure.
Production floors combine heavy machinery, strict PPE requirements and constant movement. Continuous monitoring catches the guard left open or the operator inside a machine zone at the moment it happens, not at the next audit. Workplace safety camera ai gives EHS teams a consistent standard across every shift, including the night one nobody observes.
Forklift and pedestrian conflict is the defining risk in a warehouse. Proximity tracking counts every close call and maps where they cluster, turning aisle layout from an opinion into a decision backed by numbers.
Developers and property managers use the same camera network for contractor safety on active sites and for occupancy, access and incident control in finished buildings — one deployment covering both phases of an asset’s life.
Stockrooms, delivery areas and public floors each carry different risks. The same ai vision safety platform handles slip-hazard detection front of house and equipment safety in the back, plus queue and footfall analytics as a by-product.
Choosing the right partner is even more important than the underlying technology. That’s why companies that are seeing real results from artificial intelligence are choosing Braintix.
Request a Free CallWe operate in short cycles and make each process simple to understand. Your team actively engages in AI-driven business transformation, and you remain informed throughout.
More than 9 out of 10 of the systems we implement are still up and working a year after launch. You’re paying for AI that keeps going for the long, not for prototypes that quietly get shelved.
We work with the unique characteristics that you already possess — your data, procedures, and customers. You receive a finished product that is entirely yours.
From the start, we immediately focus on the use cases that generate profit. You rapidly obtain tangible results, without being dragged into a prolonged evaluation phase that exhausts your budget.
5 → 1tools replaced by one CRM
A CRM built around your business process, with messengers, lead tracking, dashboards and an AI autopilot inside. Add finance, project management, HR or any other module you need, and run your whole business from one place.
1 questioninstead of 5+ services
A private AI agent connected to your documents, CRM and finance systems. Employees ask questions and get answers, reports and files, with role-based access.
5+data sources in one view
A custom analytics dashboard that connects your CRM, finance systems, Google Analytics and ad platforms like Meta and LinkedIn, builds end-to-end funnel analytics and comes with an AI assistant that reads the numbers for you. Running at client companies and in our own team.
AI vision safety software analyses live video from workplace cameras and automatically recognises unsafe situations — missing protective equipment, people in restricted zones, blocked exits, spills, and dangerous proximity between workers and vehicles. It runs continuously on the streams your cameras already produce, logs each detected event with a video clip and timestamp, and sends an alert to whoever needs to act. Its purpose is prevention: catching the condition while it can still be corrected, instead of documenting it afterwards.
In almost all cases, no. Any camera producing an RTSP or IP stream can be used, and most systems installed in the last ten years qualify. During Discovery we assess resolution, frame rate and angle per camera and tell you which ones are usable as they are, which need repositioning, and — rarely — which cannot support reliable detection. New hardware is a recommendation only when the physics genuinely require it.
No, not by default. Safety detection works on anonymous person and object recognition — the model sees “a person without a hard hat in zone 3”, not an identity. Faces can be blurred automatically in stored footage. Identity-linked features are only ever built where you have a lawful basis and explicitly request them, and they remain a separate, opt-in module.
You choose. Processing can run entirely on an edge device inside your network, so no video leaves the site, or in your own private cloud tenancy. Retention periods, access roles and audit logging are configured to your policy, and event records can be kept without keeping the underlying footage. Braintix does not retain your video, and every access to stored evidence is logged.
Discovery and camera assessment take about a week. A pilot on a small group of cameras runs two to four weeks, tuned against your recorded footage until detection quality is acceptable. Full site rollout, alert routing and team training typically add another two to four weeks. Supervisors need roughly an hour of onboarding, because alerts arrive in tools they already use rather than in a new console.
